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FILTER
数字滤波器设计实例，里面包含VERILOG语言和MATLAB语言写的代码。(Digital filter design example, which contains the VERILOG language and MATLAB language to write code.)
- 2010-07-31 23:47:13下载
- 积分：1
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matlabdiancijiaocheng
matlab电子教程 包括插值拟合、稀疏矩阵、高级图形对象等有用的知识。均为pdf文件。(matlab tutorial, including electronic fitting interpolation, sparse matrix, advanced graphics and other objects useful knowledge. Are pdf files.)
- 2011-10-25 10:17:13下载
- 积分：1
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BSS
盲源分离；求峭度；可以把混合信号分离出来，并且可以比较前后分离信号的峭度(Blind source separation seek kurtosis can separate the mixed signal, and the signal can be compared before and after the separation of kurtosis)
- 2013-11-08 16:21:08下载
- 积分：1
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GraspMht
多目标跟踪的 MHT 算法的一种实现。可以在 Linux 版的 MATLAB 中运行。代码仅供参考。相关论文：
1. Multiple object video tracking using GRASP-MHT
2. An Efficient MHT Implementation Using GRASP(An implementation of MHT for multi-target tracking. For research purpose only. Related papers:
1. Multiple object video tracking using GRASP-MHT
2. An Efficient MHT Implementation Using GRASP)
- 2020-07-03 13:00:01下载
- 积分：1
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ChaoticSystemsToolbox
混沌动力学实例仿真，采用MATLB可以用作研究动力学学习使用(Chaotic dynamics simulation using MATLB can be used to study learning dynamics)
- 2007-11-15 01:10:02下载
- 积分：1
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shuzituxiang
这是一个数字图像处理的matlab仿真程序，效果比较好(This is a digital image processing matlab simulation program, the effect is better)
- 2009-03-15 23:07:05下载
- 积分：1
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lms_matlab
本文提供了matlab实现的lms自适应滤波源代码以及结果分析，对不同的仿真波形进行了比较并对结果进行了详尽的分析，学习信号处理的同学可以参考一下(This article provides an implementation of the matlab source code for lms adaptive filtering, and analyzing the results of the simulation of different waveforms and the results were compared with a detailed analysis。)
- 2009-11-12 17:29:34下载
- 积分：1
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HBAT
HBAT. pls use this in your assignment in multivariate analysis. credits to the owner thank you
- 2014-10-12 20:03:14下载
- 积分：1
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Edge-based-text-region-extraction-from-natural-im
The basic steps of the edge-based text extraction algorithm are given below
1. Create a Gaussian pyramid by convolving the input image with a Gaussian kernel
and successively down-sample each direction by half. (Levels: 4)
2. Create directional kernels to detect edges at 0, 45, 90 and 135 orientations.
3. Convolve each image in the Gaussian pyramid with each orientation filter.
4. Combine the results of step 3 to create the Feature Map.
5. Dilate the resultant image using a sufficiently large structuring element (7x7 [1])
to cluster candidate text regions together.
6. Create final output image with text in white pixels against a plain black
background.
- 2014-12-16 02:56:28下载
- 积分：1
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State-of-the-Art-Techniques-and-Challenges-Ahead
STATE OF ART TECHNIQUES
- 2015-01-03 07:17:51下载
- 积分：1
